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Plotting and testing of skewed-densities

To test whether a dataset follows a skew distribution, you can visualize the scatterplot and contour plot to look for non-ellipsoidal contours. You can also test whether the data follow multivariate normality.

In this exercise, you will use the skew-normal sample generated in the previous exercise and a new set of skew-\(t\) samples, generated using the same location and scale parameters, to test multivariate normality.

This exercise is part of the course

Multivariate Probability Distributions in R

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Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Contour plot for skew-normal sample
___(___, aes(x = x, y = y)) + geom_point() + geom_density_2d() 
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